Wind power-based model predictive grid frequency regulation with wind disturbance compensation utilizing power response delay.
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| Title: | Wind power-based model predictive grid frequency regulation with wind disturbance compensation utilizing power response delay. |
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| Authors: | Cheng, Chenyang1 (AUTHOR), Sun, Jian1 (AUTHOR) cqjjsunjian@swu.edu.cn, Song, Xin1 (AUTHOR), Wang, Xin1 (AUTHOR), Zhang, Qing1 (AUTHOR) |
| Source: | Electrical Engineering. May2025, Vol. 107 Issue 5, p5983-5996. 14p. |
| Subjects: | Power system simulation, Electric power distribution grids, Carbon emissions, Wind speed, Wind turbines, Wind power |
| Abstract: | The large-scale penetration of wind power helps to reduce carbon emissions and protect the environment. However, the generations of wind power are random and intermittent. It fluctuates the frequency of power grids, which hinders the further utilization of wind power. This paper proposes a dual predictive frequency regulation (FR) scheme for wind power integrated power grids. The dual-prediction-based scheme incorporates wind power predictions into a model predictive strategy for automatic generation controls (AGC). The wind power prediction compensates for the impacts of randomness and intermittency of wind power generation. Rather than using wind models, the wind power predictions are derived from the maximal reference outputs of wind turbines, which can be simply calculated according to measured wind speed. Simulations on single-area power system considering aggregation of wind turbines are performed to verify the proposed scheme. Compared to traditional AGC strategies, the proposed strategy reduced the IAE, ITAE, ISE, and ITSE errors of system frequency deviation by 60.27%, 32.23%, 77.3% and 68.8%, respectively. Meanwhile, the range of system frequency deviation was reduced from ±0.26Hz to ±0.2Hz, verifying the effectiveness of predictive disturbance intervention. [ABSTRACT FROM AUTHOR] |
| Copyright of Electrical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185942643 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Wind power-based model predictive grid frequency regulation with wind disturbance compensation utilizing power response delay. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cheng%2C+Chenyang%22">Cheng, Chenyang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Jian%22">Sun, Jian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cqjjsunjian@swu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Song%2C+Xin%22">Song, Xin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xin%22">Wang, Xin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Qing%22">Zhang, Qing</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Electrical+Engineering%22">Electrical Engineering</searchLink>. May2025, Vol. 107 Issue 5, p5983-5996. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Power+system+simulation%22">Power system simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+emissions%22">Carbon emissions</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+turbines%22">Wind turbines</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+power%22">Wind power</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The large-scale penetration of wind power helps to reduce carbon emissions and protect the environment. However, the generations of wind power are random and intermittent. It fluctuates the frequency of power grids, which hinders the further utilization of wind power. This paper proposes a dual predictive frequency regulation (FR) scheme for wind power integrated power grids. The dual-prediction-based scheme incorporates wind power predictions into a model predictive strategy for automatic generation controls (AGC). The wind power prediction compensates for the impacts of randomness and intermittency of wind power generation. Rather than using wind models, the wind power predictions are derived from the maximal reference outputs of wind turbines, which can be simply calculated according to measured wind speed. Simulations on single-area power system considering aggregation of wind turbines are performed to verify the proposed scheme. Compared to traditional AGC strategies, the proposed strategy reduced the IAE, ITAE, ISE, and ITSE errors of system frequency deviation by 60.27%, 32.23%, 77.3% and 68.8%, respectively. Meanwhile, the range of system frequency deviation was reduced from ±0.26Hz to ±0.2Hz, verifying the effectiveness of predictive disturbance intervention. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Electrical Engineering is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00202-024-02811-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 5983 Subjects: – SubjectFull: Power system simulation Type: general – SubjectFull: Electric power distribution grids Type: general – SubjectFull: Carbon emissions Type: general – SubjectFull: Wind speed Type: general – SubjectFull: Wind turbines Type: general – SubjectFull: Wind power Type: general Titles: – TitleFull: Wind power-based model predictive grid frequency regulation with wind disturbance compensation utilizing power response delay. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cheng, Chenyang – PersonEntity: Name: NameFull: Sun, Jian – PersonEntity: Name: NameFull: Song, Xin – PersonEntity: Name: NameFull: Wang, Xin – PersonEntity: Name: NameFull: Zhang, Qing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09487921 Numbering: – Type: volume Value: 107 – Type: issue Value: 5 Titles: – TitleFull: Electrical Engineering Type: main |
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